Computer Sciences Commons^™

Model File Name: Dnalong-3pc-Lego.Stl, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: DNAlong-3pc-Lego.stl

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a stick representation of the DNA to which the transcription factor lambda repressor binds (PDB: 1lmb). This model can be adapted to accompany a teaching module illustrating transcription factor-DNA binding. The model has been designed in 3 parts that can be joined together by Lego®-style junctions. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Lego DNA with GCbp”. This model has been printed successfully using these parameters on Shapeways’ laser …

Model File Name: Dna-420bp-Magnet-Supercoil.Stl, Michelle Howell, Karin V. Van Dijk, Kalika Mahato, Rebecca Roston

3-D Printed Model Structural Files

Model file name: DNA-420bp-magnet-supercoil.stl

Authors: Michelle E Howell, Karin van Dijk, Kalika Mahato, Rebecca L Roston

This is a teaching model of a long, thin representation of double stranded DNA (420 bp). The DNA model has small sites on the ends where the user can glue magnets to mimic circular DNA, and to aid in manipulating the model. Disc magnets with a diameter of 1/8” or 1/10” and thickness of 1/16” can be purchased online from K&J Magnetics and glued into the magnet sites. The model is designed to go with a teaching module on DNA supercoiling. The model can …

Model File Name: H1-Protein.Stl, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: H1-protein.stl

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a crude representation of an H1-protein intended to accompany the nucleosome and a long, thin double stranded DNA helix model in order to illustrate DNA packaging and supercoiling. This model is designed to go with a teaching module on DNA supercoiling. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Histone H1 protein”. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the following materials: Strong …

Model File Name: Dna-Short-Helix.X3d, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: DNA-short-helix.x3d

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a DNA helix in which the atoms are colored by heteroatom (PDB: 1lmb). This model is designed to go with a teaching module comparing DNA and RNA basic structures and functions, and with one that studies transcription factor-DNA binding. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “DNA helix - polynucleotide molecule”. This model has been printed successfully using these parameters on Shapeways’ binder jetting printer in the Coated Full …

Model File Name: Ssdna.Stl, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: ssDNA.stl

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a single stranded piece of DNA in stick representation (PDB: 1ehz). This model is designed to go with a teaching module comparing DNA and RNA basic structures and functions. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “ssDNA”. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the Elasto Plastic material.

Model File Name: Nucleosome.Stl, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: Nucleosome.stl

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a crude representation of a nucleosome intended to accompany the H1 histone protein and a long, thin double stranded DNA helix model in order to illustrate DNA packaging and supercoiling. This model is designed to go with a teaching module on DNA supercoiling. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Nucleosome”. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the Strong & Flexible …

Model File Name: Tf-Monomer-Stick.Stl, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: TF-monomer-stick.stl

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a ribbon and stick representation of a Lambda repressor transcription factor monomer that accompanies the full color DNA helix (PDB: 1lmb). This model is designed to go with a teaching module illustrating transcription factor-DNA binding. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Lambda TF monomer”. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the Strong & Flexible Plastic material.

Model File Name: Rna-Short-Helix.X3d, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: RNA-short-helix.x3d

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a DNA helix in which the atoms are colored by heteroatom (PDB: 1lmb). This model is designed to go with a teaching module comparing DNA and RNA basic structures and functions. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “RNA helix - polynucleotide molecule”. This model has been printed successfully using these parameters on Shapeways’ binder jetting printer in the Coated Full Color Sandstone material.

Video Guide To Design Flexible Dna.Mp4, Michelle Howell, Karin V. Van Dijk, Christine S. Booth, Tomáš Helikar, Brian Couch, Rebecca Roston

3-D Printed Model Structural Files

Model file name: Video guide to design flexible DNA.mp4

Authors: Michelle E Howell, Karin van Dijk, Christine S Booth, Tomas Helikar, Brian A Couch, Rebecca L Roston

This 30-minute video includes step-by-step instructions to design and 3-D print a long flexible DNA model that mimics the structure and function of DNA. The instructions are applicable for designing the model using open-source 3-D computer graphics software Blender 2.79 which is available for download at https://www.blender.org/download/.

.mp4 file download (70 MB) below.

Model File Name: Ssrna.Stl, Michelle Howell, Karin V. Van Dijk, Rebecca Roston

3-D Printed Model Structural Files

Model file name: ssRNA.stl

Authors: Michelle E Howell, Karin van Dijk, Rebecca L Roston

This is a teaching model of a single stranded piece of RNA in stick representation (PDB: 1ehz). This model is designed to go with a teaching module comparing DNA and RNA basic structures and functions. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “ssRNA”. This model has been printed successfully using these parameters on Shapeways’ laser sintering printer in the Elasto Plastic material.

Model File Name: Helix_H2o_Sphere2.Dae, Michelle Howell, Rebecca Roston

3-D Printed Model Structural Files

Model file name: Helix_H2O_sphere2.dae

Authors: Michelle E Howell, Rebecca L Roston

This is a teaching model of a space fill representation of a protein α-helix (PDB: 3vjo). A space fill water molecule is also represented to illustrate the lack of space down the axis of an α-helix. This model can accompany a corresponding stick representation, a kinked α-helix, and a β-sheet. This model is designed to accompany a teaching module illustrating protein secondary structure and function. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Helix and Water (Space-fill) …

Model File Name: Beta-Sheet_Rod 0.7.Dae, Michelle Howell, Rebecca Roston

3-D Printed Model Structural Files

Model file name: beta-sheet_rod 0.7.dae

Authors: Michelle E Howell, Rebecca L Roston

This is a teaching model of a stick representation of a protein β-sheet (PDB: 3vjo). This model is designed to accompany three other α-helix models: a space-fill representation of a straight α-helix, a stick representation of a straight α-helix, and a stick representation of a kinked α-helix. These models accompany a teaching module illustrating protein secondary structure and function. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Beta-sheet_Thick”. This model has been printed successfully using …

Model File Name: Alpha Helix Pro-Gly 0.7.Dae, Michelle Howell, Rebecca Roston

3-D Printed Model Structural Files

Model file name: alpha helix pro-gly 0.7.dae

Authors: Michelle E Howell, Rebecca L Roston

This is a teaching model of a stick representation of a protein α-helix with proline and glycine residues highlighted (PDB: 3vjo). This model is designed to accompany a straight α-helix in space fill representation, a straight α-helix in stick representation, and a stick β-sheet model as well as a teaching module illustrating protein secondary structure and function. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Alpha Helix_Pro-Gly”. This model has been printed successfully using these parameters …

Model File Name: Alpha Helix 0.7.Dae, Michelle Howell, Rebecca Roston

3-D Printed Model Structural Files

Model file name: alpha helix 0.7.dae

Authors: Michelle E Howell, Rebecca L Roston

This is a teaching model of a stick representation of a protein α-helix (PDB: 3vjo). This model can accompany a corresponding space fill representation, a kinked α-helix, and a β-sheet. These models were designed to accompany a teaching module illustrating protein secondary structure and function. The printable model is already uploaded to Shapeways.com in the MacroMolecules shop under the name “Alpha Helix_Thick”. This model has been printed successfully using these parameters on Shapeways’ binder jetting printer in the Coated Full Color …

Crosstalk Among Lncrnas, Micrornas And Mrnas In The Muscle ‘Degradome’ Of Rainbow Trout, Bam Paneru, Ali Ali, Rafet Al-Tobasei, Brett Kenney, Mohamed Salem

Faculty & Staff Scholarship

In fish, protein-coding and noncoding genes involved in muscle atrophy are not fully characterized. In this study, we characterized coding and noncoding genes involved in gonadogenesis-associated muscle atrophy, and investigated the potential functional interplay between these genes. Using RNA- Seq, we compared expression pattern of mRNAs, long noncoding RNAs (lncRNAs) and microRNAs of atrophying skeletal muscle from gravid females and control skeletal muscle from age-matched sterile individuals. A total of 852 mRNAs, 1,160 lncRNAs and 28 microRNAs were differentially expressed (DE) between the two groups. Muscle atrophy appears to be mediated by many genes encoding ubiquitin- proteasome system, autophagy related …

Genome-Wide Association Analysis With A 50k Transcribed Gene Snp-Chip Identifies Qtl Affecting Muscle Yield In Rainbow Trout, Mohamed Salem, Rafet Al-Tobasei, Ali Ali, Daniela Lourenco, Guangtu Gao, Yniv Palti, Brett Kenney, Timothy D. Leeds

Faculty & Staff Scholarship

Detection of coding/functional SNPs that change the biological function of a gene may lead to identification of putative causative alleles within QTL regions and discovery of genetic markers with large effects on phenotypes. This study has two-fold objectives, first to develop, and validate a 50K transcribed gene SNP-chip using RNA-Seq data. To achieve this objective, two bioinformatics pipelines, GATK and SAMtools, were used to identify ∼21K transcribed SNPs with allelic imbalances associated with important aquaculture production traits including body weight, muscle yield, muscle fat content, shear force, and whiteness in addition to resistance/susceptibility to bacterial cold-water disease (BCWD). SNPs ere …

Integrated Analysis Of Lncrna And Mrna Expression In Rainbow Trout Families Showing Variation In Muscle Growth And Fillet Quality Traits, Ali Ali, Rafet Al-Tobasei, Brett Kenney, Timothy D. Leeds, Mohamed Salem

Faculty & Staff Scholarship

Muscle yield and quality traits are important for the aquaculture industry and consumers. Genetic selection for these traits is difficult because they are polygenic and result from multifactorial interactions. To study the genetic architecture of these traits, phenotypic characterization of whole body weight (WBW), muscle yield, fat content, shear force and whiteness were measured in ~500 fish representing 98 families from a growth-selected line. RNA-Seq was used to sequence the muscle transcriptome of different families exhibiting divergent phenotypes for each trait. We have identified 240 and 1,280 differentially expressed (DE) protein-coding genes and long noncoding RNAs (lncRNAs), respectively, in fish …

Iot-Enhanced Human Experience, Amit P. Sheth, Biplav Srivastava, Florian Michahelles

Kno.e.sis Publications

The two articles in this special section represent ongoing Internet of Things applications in the context of Europe trying to make solutions usable to people in daily times.

Knowledge-Enabled Personalized Dashboard For Asthma Management In Children, Vaikunth Sridharan, Revathy Venkataramanan, Dipesh Kadariya, Krishnaprasad Thirunarayan, Amit Sheth, Maninder Kalra

Kno.e.sis Publications

Introduction: Childhood Asthma is a significant public health concern worldwide. Effective management of childhood asthma requires close monitoring of disease triggers, medication compliance and symptom control. The recent growth of the Internet of Things (IoT) based devices has enabled continuous monitoring of patients. kHealth-Asthma is a knowledge-enabled semantic framework consisting of IoT enabled sensors to record patient symptoms, medication usage and their environment. For each patient, 29 diverse parameters with 1852 data points are collected daily. kHealthDash platform enables real-time visual analysis at an individual and cohort level over such high volume, high variety data.

Methods: The kHealth kit was …

Khealth: A Personalized Healthcare Approach For Pediatric Asthma, Utkarshani Jaimini, Hong Y. Yip, Revathy Venkataramanan, Dipesh Kadariya, Vaikunth Sridharan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra, Amit Sheth

Kno.e.sis Publications

Can we assess the asthma control level, determine vulnerability, and medication compliance for a patient? Can we understand the causal relationship between the asthma symptom and possible factors responsible for it? Can we reduce the number of asthma attacks through continuous monitoring of the patient’s health condition?

Poster: Image Disguising For Privacy-Preserving Deep Learning, Sagar Sharma, Keke Chen

Kno.e.sis Publications

No abstract provided.

“How Is My Child’S Asthma?” Digital Phenotype And Actionable Insights For Pediatric Asthma, Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Revathy Venkataramanan, Dipesh Kadariya, Amit Sheth

Kno.e.sis Publications

Background: In the traditional asthma management protocol, a child meets with a clinician infrequently, once in 3 to 6 months, and is assessed using the Asthma Control Test questionnaire. This information is inadequate for timely determination of asthma control, compliance, precise diagnosis of the cause, and assessing the effectiveness of the treatment plan. The continuous monitoring and improved tracking of the child’s symptoms, activities, sleep, and treatment adherence can allow precise determination of asthma triggers and a reliable assessment of medication compliance and effectiveness. Digital phenotyping refers to moment-by-moment quantification of the individual-level human phenotype in situ using data from …

Recurrent Neural Networks And Their Applications To Rna Secondary Structure Inference, Devin Willmott

Theses and Dissertations--Mathematics

Recurrent neural networks (RNNs) are state of the art sequential machine learning tools, but have difficulty learning sequences with long-range dependencies due to the exponential growth or decay of gradients backpropagated through the RNN. Some methods overcome this problem by modifying the standard RNN architecure to force the recurrent weight matrix W to remain orthogonal throughout training. The first half of this thesis presents a novel orthogonal RNN architecture that enforces orthogonality of W by parametrizing with a skew-symmetric matrix via the Cayley transform. We present rules for backpropagation through the Cayley transform, show how to deal with the Cayley …

Space Operations In The Suborbital Space Flight Simulator And Mission Control Center: Lessons Learned With Xcor Lynx, Pedro Llanos, Christopher Nguyen, David Williams, Kim O. Chambers, Erik Seedhouse, Robert Davidson

Journal of Aviation/Aerospace Education & Research

This study was conducted to better understand the performance of the XCOR Lynx vehicle. Because the Lynx development was halted, the best knowledge of vehicle dynamics can only be found through simulator flights. X-Plane 10 was chosen for its robust applications and accurate portrayal of dynamics on a vehicle in flight. The Suborbital Space Flight Simulator (SSFS) and Mission Control Center (MCC) were brought to the Applied Aviation Sciences department in fall 2015 at Embry-Riddle Aeronautical University, Daytona Beach campus. This academic and research tool is a department asset capable of providing multiple fields of data about suborbital simulated flights. …

Metrics For Evaluating Quality Of Embeddings For Ontological Concepts, Faisal Alshargi, Saeedeh Shekarpour, Tommaso Soru, Amit P. Sheth

Kno.e.sis Publications

Although there is an emerging trend towards generating embeddings for primarily unstructured data and, recently, for structured data, no systematic suite for measuring the quality of embeddings has been proposed yet. This deficiency is further sensed with respect to embeddings generated for structured data because there are no concrete evaluation metrics measuring the quality of the encoded structure as well as semantic patterns in the embedding space. In this paper, we introduce a framework containing three distinct tasks concerned with the individual aspects of ontological concepts: (i) the categorization aspect, (ii) the hierarchical aspect, and (iii) the relational aspect. Then, …

Deep Learning-Based Framework For Autism Functional Mri Image Classification, Xin Yang, Saman Sarraf, Ning Zhang

Journal of the Arkansas Academy of Science

The purpose of this paper is to introduce deep learning-based framework LeNet-5 architecture and implement the experiments for functional MRI image classification of Autism spectrum disorder. We implement our experiments under the NVIDIA deep learning GPU Training Systems (DIGITS). By using the Convolutional Neural Network (CNN) LeNet-5 architecture, we successfully classified functional MRI image of Autism spectrum disorder from normal controls. The results show that we obtained satisfactory results for both sensitivity and specificity.

Clinical Information Extraction From Unstructured Free-Texts, Mingzhe Tao

Legacy Theses & Dissertations (2009 - 2024)

Information extraction (IE) is a fundamental component of natural language processing (NLP) that provides a deeper understanding of the texts. In the clinical domain, documents prepared by medical experts (e.g., discharge summaries, drug labels, medical history records) contain a significant amount of clinically-relevant information that is crucial to the overall well-being of patients. Unfortunately, in many cases, clinically-relevant information is presented in an unstructured format, predominantly consisting of free-texts, making it inaccessible to computerized methods. Automatic extraction of this information can improve accessibility. However, the presence of synonymous expressions, medical acronyms, misspellings, negated phrases, and ambiguous terminologies make automatic extraction …

"What's Ur Type?" Contextualized Classification Of User Types In Marijuana-Related Communications Using Compositional Multiview Embedding, Ugur Kursuncu, Manas Gaur, Usha Lokala, Anurag Illendula, Krishnaprasad Thirunarayan, Raminta Daniulaityte, Amit P. Sheth, Budak Arpinar

Kno.e.sis Publications

With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing information about medical, recreational and business aspects related to marijuana, it is no surprise that marijuana culture is thriving on Twitter. After the legalization of marijuana for recreational and medical purposes in 29 states, there has been a dramatic increase in the volume of drug-related communication on Twitter. Specifically, Twitter accounts have been established for promotional and informational purposes, some prominent among them being American Ganja, Medical Marijuana Exchange, and Cannabis Now. Identification and characterization …

Personalized Prediction Of Suicide Risk For Web-Based Intervention, Amanuel Alambo, Manas Gaur, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jeremiah Schumm, Jyotishman Pathak, Amit P. Sheth

Kno.e.sis Publications

Across the United States, suicide is the second leading cause of death for people aged between 15 and 34, and younger people are more prone to mental health problems, suicidal thoughts, and behaviors. For instance, 80% of patients with Borderline Personality Disorder have suicide-related behaviors, and between 4-9% of them commit suicide. Moreover, the social stigma associated with mental health issues and suicide deter patients from sharing their experiences directly with others. In such a situation, social media that provides a free and open forum for voluntary expression can provide insights into suicide ideation and self-destructive behavior.

Reddit is a …

Feasibility Of Recording Sleep Quality And Sleep Duration Using Fitbit In Children With Asthma, Amit Sheth, Hong Y. Yip, Utkarshani Jaimini, Dipesh Kadariya, Vaikunth Sridharan, Revathy Venkataramanan, Tanvi Banerjee, Krishnaprasad Thirunarayan, Maninder Kalra

Kno.e.sis Publications

Sleep disorders are common in children with asthma and are increasingly implicated in poor asthma control. Smart wearables such as the Fitbit wristband allow monitoring of users’ sleep duration and quality in their natural surroundings. However, the utility and efficacy of using such wearable devices to monitor sleep in pediatric patients with asthma have not been well-established. Thus, the objective of this study is to demonstrate the feasibility of recording sleep quality and sleep duration using Fitbit in children with asthma.